Age-stratified QTL genome scan analyses for anthropometric measures
Age-stratified QTL genome scan analyses for anthropometric measures
复制标题
DOI：
10.1186/1471-2156-4-s1-s31
复制
发表时间：
2003-12-31
期刊：
影响因子：
2.9
通讯作者：
Langefeld, CD
中科院分区：
文献类型：
--
作者：
Beck, SR;Brown, WM;Langefeld, CD
随着纵向数据的可用性，年龄特异性（分层）或年龄调整遗传分析有可能定位不同的假定性状影响位点。如果年龄在检测范围内不影响基因座特异性外显率函数，年龄分层分析将倾向于对个体性状产生可比的结果。然而，当基因座特异性外显子功能依赖于年龄时，年龄分层的结果应该在不同的年龄层中有所不同。在本文中，年龄分层和年龄调整的数量性状位点（QTL）连锁分析对比了弗雷明汉心脏研究的一个亚群的身高、体重、体重指数（BMI）和收缩压。这些地层包含了三个年龄组的个人数据：31 - 49岁、50 - 60岁、61 - 79岁。使用SOLAR进行全基因组QTL分析。在所有年龄组中，在染色体14q11.2附近的GATA74E02A标记上检测到一个身高连锁信号（31 - 49岁的LOD = 2.38, 50 - 60岁的LOD = 1.84, 61 - 79岁的LOD = 2.45）。在31 ~ 49岁年龄组的3q22染色体（GATA3C02, LOD = 2.89, p = 0.0003）和体重信号（LOD = 3.10, p = 0.0002）上发现了与BMI相关的证据。31 ~ 49岁年龄组的BMI （LOD = 2.21, p = 0.0014）和体重（LOD = 2.47, p = 0.0007）在染色体1p22.1上也存在连锁。我们的年龄分层结果表明，可以使用基因组扫描和方差成分方法识别长时间表达并影响多个相关性状的QTL，以帮助检测早期和/或晚期基因表达。
With the availability of longitudinal data, age-specific ( stratified) or age-adjusted genetic analyses have the potential to localize different putative trait influencing loci. If age does not influence the locus-specific penetrance function within the range examined, age-stratified analyses will tend to yield comparable results for an individual trait. However, age-stratified results should vary across age strata when the locus-specific penetrance function is age dependent. In this paper, age-stratified and age-adjusted quantitative trait loci (QTL) linkage analyses were contrasted for height, weight, body mass index (BMI), and systolic blood pressure on a subset of the Framingham Heart Study. The strata comprised individuals with data present in each of three age groups: 31 - 49, 50 - 60, 61 79. Genome-wide QTL analyses were performed using SOLAR. Over all ages, a linkage signal for height was detected on chromosome 14q11.2 near marker GATA74E02A ( LOD for ages 31 - 49 = 2.38, LOD for ages 50 - 60 = 1.84, LOD for ages 61 - 79 = 2.45). Evidence of linkage to BMI in the 31 - 49 age group was found on chromosome 3q22 ( GATA3C02, LOD = 2.89, p = 0.0003) at the same location as the signal for weight ( LOD = 3.10, p = 0.0002). Linkage was also supported on chromosome 1p22.1 for BMI ( LOD = 2.21, p = 0.0014) and weight ( LOD = 2.47, p = 0.0007) in the 31 - 49 age group. Our age-stratified results suggest that QTL that are expressed over long periods of time and affecting multiple, correlated traits may be identified using genome scan and variance-component methodology to help detect early and/or late gene expression.